CN112361961A - Product size detection labeling method and device based on camera - Google Patents
Product size detection labeling method and device based on camera Download PDFInfo
- Publication number
- CN112361961A CN112361961A CN202011320476.5A CN202011320476A CN112361961A CN 112361961 A CN112361961 A CN 112361961A CN 202011320476 A CN202011320476 A CN 202011320476A CN 112361961 A CN112361961 A CN 112361961A
- Authority
- CN
- China
- Prior art keywords
- product
- detection
- size
- camera
- labeling
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 77
- 238000002372 labelling Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 claims abstract description 54
- 238000004891 communication Methods 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 239000000126 substance Substances 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 abstract description 7
- 230000006870 function Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000002950 deficient Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012372 quality testing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65C—LABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
- B65C9/00—Details of labelling machines or apparatus
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65C—LABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
- B65C9/00—Details of labelling machines or apparatus
- B65C9/40—Controls; Safety devices
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Analysis (AREA)
Abstract
The embodiment of the invention provides a camera-based product size detection labeling method and device. The method comprises the following steps: if the detection layer is provided with a detection tray, a first product in the detection tray is photographed by an industrial camera to obtain a first product image; and identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and if the error is smaller than a preset threshold value, attaching a qualified label to the first product. According to the method and the device for detecting and labeling the product size based on the camera, provided by the embodiment of the invention, the industrial camera is adopted to photograph the product, then the product size is identified, and the identification results are compared, so that the quality risk caused by artificial loss such as mistakes, omissions and mixing in the manual detection of the product can be greatly avoided, the production efficiency is greatly improved, and the labor cost is saved.
Description
Technical Field
The embodiment of the invention relates to the technical field of product detection, in particular to a method and equipment for detecting and labeling a product size based on a camera.
Background
With the development of economy, orders of many companies continuously increase, related quality inspection methods meet efficiency bottlenecks and cannot meet delivery plans in time, the quality requirement standards of customers are higher and higher, and the evaluation efficiency of product quality needs to be improved in order to meet the delivery and quality requirements of the customers. The current product quality testing process is various and manual processing efficiency is extremely low, and the phenomenon of scanning by mistake and missing is scanned and is detected in manual scanning two-dimensional code. Therefore, it is an urgent technical problem to be solved in the art to develop a method and apparatus for detecting and labeling a product size based on a camera, which can effectively overcome the above-mentioned drawbacks in the related art.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method and equipment for detecting and labeling the size of a product based on a camera.
In a first aspect, an embodiment of the present invention provides a camera-based product size detection and labeling method, including: if the detection layer is provided with a detection tray, a first product in the detection tray is photographed by an industrial camera to obtain a first product image; and identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and if the error is smaller than a preset threshold value, attaching a qualified label to the first product.
On the basis of the content of the above method embodiment, the method for detecting and labeling the size of the product based on the camera provided in the embodiment of the present invention further includes, after the first product is labeled with the qualified label: and if the error is larger than a preset threshold value, rejecting the first product and putting a second product into the idle detection tray.
On the basis of the content of the embodiment of the method, the method for detecting and labeling the size of the product based on the camera provided by the embodiment of the invention has the advantages that the first two-dimensional code is arranged on the first product, and if the first two-dimensional code is scanned, the information of the first product is uploaded to an MES system.
On the basis of the content of the above method embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention further includes, after the second product is put into the idle detection tray, the following steps: if the second product is not detected, the first indicator light is lightened; if the second product has been detected, a second indicator light is illuminated.
On the basis of the content of the above method embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention further includes, before the step of providing the detection layer with the detection tray: and if the detection layer does not have the detection tray, putting the detection tray into the detection layer.
On the basis of the content of the above method embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention, wherein the identifying a first product image, includes: and identifying the first product image by adopting a neural network algorithm.
On the basis of the content of the embodiment of the method, the method for detecting and labeling the product size based on the camera further comprises the following steps: and binding the detection information of a plurality of products with qualified labels to generate a second two-dimensional code, and printing the shipping labels according to the second two-dimensional code.
In a second aspect, an embodiment of the present invention provides a product size detecting and labeling device based on a camera, including: the product image module is used for photographing a first product in the detection tray by adopting an industrial camera if the detection tray exists on the detection layer to obtain a first product image; and the detection labeling module is used for identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and labeling the first product with a qualified label if the error is smaller than a preset threshold value.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the camera-based product size detection and labeling method provided by any one of the various implementation manners of the first aspect.
In a fourth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the camera-based product size detection and labeling method provided in any of the various implementations of the first aspect.
According to the method and the device for detecting and labeling the product size based on the camera, provided by the embodiment of the invention, the industrial camera is adopted to photograph the product, then the product size is identified, and the identification results are compared, so that the quality risk caused by artificial loss such as mistakes, omissions and mixing in the manual detection of the product can be greatly avoided, the production efficiency is greatly improved, and the labor cost is saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below to the drawings required for the description of the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method for detecting and labeling a product size based on a camera according to an embodiment of the present invention;
fig. 2 is a schematic structural view of a camera-based product size detection and labeling device according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In addition, technical features of various embodiments or individual embodiments provided by the present invention may be arbitrarily combined with each other to form a feasible technical solution, and such combination is not limited by the sequence of steps and/or the structural composition mode, but must be realized by a person skilled in the art, and when the technical solution combination is contradictory or cannot be realized, such a technical solution combination should not be considered to exist and is not within the protection scope of the present invention.
The embodiment of the invention provides a product size detection labeling method based on a camera, and referring to fig. 1, the method comprises the following steps: if the detection layer is provided with a detection tray, a first product in the detection tray is photographed by an industrial camera to obtain a first product image; and identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and if the error is smaller than a preset threshold value, attaching a qualified label to the first product.
Based on the content of the above method embodiment, as an optional embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention further includes, after the qualified label is attached to the first product: and if the error is larger than a preset threshold value, rejecting the first product and putting a second product into the idle detection tray. Specifically, the preset threshold may be 0.5 cm, 1 cm or 1.5 cm.
Based on the content of the above method embodiment, as an optional embodiment, in the method for detecting and labeling the size of the product based on the camera provided in the embodiment of the present invention, the first product has the first two-dimensional code, and if the first two-dimensional code is scanned, information of the first product is uploaded to the MES system.
Based on the content of the above method embodiment, as an optional embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention further includes, after the second product is put into the empty detection tray, the following steps: if the second product is not detected, the first indicator light is lightened; if the second product has been detected, a second indicator light is illuminated.
Based on the content of the above method embodiment, as an optional embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention further includes, before the step of providing the detection layer with the detection tray: and if the detection layer does not have the detection tray, putting the detection tray into the detection layer.
Based on the content of the above method embodiment, as an optional embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention, wherein the identifying a first product image, includes: and identifying the first product image by adopting a neural network algorithm.
Based on the content of the above method embodiment, as an optional embodiment, the method for detecting and labeling a product size based on a camera provided in the embodiment of the present invention further includes: and binding the detection information of a plurality of products with qualified labels to generate a second two-dimensional code, and printing the shipping labels according to the second two-dimensional code.
Specifically, an industrial camera and matched visual software are adopted to realize size detection on the appearance of a product, meanwhile, product two-dimensional code information is scanned and uploaded to an MES system, and the multifunctional equipment integrates automatic printing and label attaching. Possess the automatic function of choosing and automatic replenishing the yields of unloading functional module and defective products on the automation, promote production line product production, circulation speed, raise the efficiency through the high integration of multiple operation. Meanwhile, automatic scanning is performed, defective products are automatically replaced, the material supplementing is performed, the label is automatically printed, and quality risks caused by artificial leakage such as manual mistake, leakage and mixing can be greatly avoided. The automatic feeding and discharging function can greatly improve the production efficiency and save labor.
According to the product size detection labeling method based on the camera, provided by the embodiment of the invention, the industrial camera is adopted to photograph the product, then the size of the product is identified, and the identification results are compared, so that quality risks caused by artificial losses such as mistakes, omissions and mixing in the manual detection of the product can be greatly avoided, the production efficiency is greatly improved, and the labor cost is saved.
The implementation basis of the various embodiments of the present invention is realized by programmed processing performed by a device having a processor function. Therefore, in engineering practice, the technical solutions and functions thereof of the embodiments of the present invention can be packaged into various modules. Based on this practical situation, on the basis of the above embodiments, embodiments of the present invention provide a camera-based product size detection and labeling apparatus, which is used for executing the camera-based product size detection and labeling method in the above method embodiments. Referring to fig. 2, the apparatus includes: the product image module is used for photographing a first product in the detection tray by adopting an industrial camera if the detection tray exists on the detection layer to obtain a first product image; and the detection labeling module is used for identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and labeling the first product with a qualified label if the error is smaller than a preset threshold value.
According to the product size detection labeling device based on the camera, provided by the embodiment of the invention, various modules in the image 2 are adopted, the industrial camera is adopted to photograph the product, then the size of the product is identified, and the identification results are compared, so that quality risks caused by artificial losses such as mistakes, omissions and mixing in manual detection of the product can be greatly avoided, the production efficiency is greatly improved, and the labor cost is saved.
It should be noted that, the apparatus in the apparatus embodiment provided by the present invention may be used for implementing methods in other method embodiments provided by the present invention, except that corresponding function modules are provided, and the principle of the apparatus embodiment provided by the present invention is basically the same as that of the apparatus embodiment provided by the present invention, so long as a person skilled in the art obtains corresponding technical means by combining technical features on the basis of the apparatus embodiment described above, and obtains a technical solution formed by these technical means, on the premise of ensuring that the technical solution has practicability, the apparatus in the apparatus embodiment described above may be modified, so as to obtain a corresponding apparatus class embodiment, which is used for implementing methods in other method class embodiments. For example:
based on the content of the above device embodiment, as an optional embodiment, the product size detecting and labeling device based on the camera provided in the embodiment of the present invention further includes: and the second module is used for removing the first product and putting a second product into the idle detection tray if the error is larger than the preset threshold value.
Based on the content of the above device embodiment, as an optional embodiment, the product size detecting and labeling device based on the camera provided in the embodiment of the present invention further includes: a third module for illuminating the first indicator light if the second product is not detected; if the second product has been detected, a second indicator light is illuminated.
Based on the content of the above device embodiment, as an optional embodiment, the product size detecting and labeling device based on the camera provided in the embodiment of the present invention further includes: and the fourth module is used for placing the detection tray into the detection layer if the detection layer does not have the detection tray.
Based on the content of the above device embodiment, as an optional embodiment, the product size detecting and labeling device based on the camera provided in the embodiment of the present invention further includes: and the fifth module is used for identifying the first product image by adopting a neural network algorithm.
Based on the content of the above device embodiment, as an optional embodiment, the product size detecting and labeling device based on the camera provided in the embodiment of the present invention further includes: and the sixth module is used for binding the detection information of a plurality of products stuck with qualified labels to generate a second two-dimensional code, and printing the shipping label according to the second two-dimensional code.
The method of the embodiment of the invention is realized by depending on the electronic equipment, so that the related electronic equipment is necessarily introduced. To this end, an embodiment of the present invention provides an electronic apparatus, as shown in fig. 3, including: at least one processor (processor)301, a communication Interface (Communications Interface)304, at least one memory (memory)302 and a communication bus 303, wherein the at least one processor 301, the communication Interface 304 and the at least one memory 302 are configured to communicate with each other via the communication bus 303. The at least one processor 301 may invoke logic instructions in the at least one memory 302 to perform all or a portion of the steps of the methods provided by the various method embodiments described above.
Furthermore, the logic instructions in the at least one memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the method embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Based on this recognition, each block in the flowchart or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In this patent, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A product size detection labeling method based on a camera is characterized by comprising the following steps: if the detection layer is provided with a detection tray, a first product in the detection tray is photographed by an industrial camera to obtain a first product image; and identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and if the error is smaller than a preset threshold value, attaching a qualified label to the first product.
2. The camera-based product size detection and labeling method of claim 1, further comprising, after said applying a qualified label to the first product: and if the error is larger than a preset threshold value, rejecting the first product and putting a second product into the idle detection tray.
3. The camera-based product size detecting and labeling method according to claim 1, wherein the first product has a first two-dimensional code thereon, and if the first two-dimensional code is scanned, information of the first product is uploaded to the MES system.
4. The camera-based product size detection and labeling method of claim 2, further comprising, after placing the second product in the empty detection tray: if the second product is not detected, the first indicator light is lightened; if the second product has been detected, a second indicator light is illuminated.
5. The camera-based product size detecting and labeling method according to claim 1, further comprising, before the detecting tray is located on the detecting layer: and if the detection layer does not have the detection tray, putting the detection tray into the detection layer.
6. The camera-based product size detection and labeling method of claim 1, wherein the identifying the first product image comprises: and identifying the first product image by adopting a neural network algorithm.
7. The camera-based product size detecting and labeling method of claim 1, further comprising: and binding the detection information of a plurality of products with qualified labels to generate a second two-dimensional code, and printing the shipping labels according to the second two-dimensional code.
8. The utility model provides a product size detects subsides mark device based on camera which characterized in that includes: the product image module is used for photographing a first product in the detection tray by adopting an industrial camera if the detection tray exists on the detection layer to obtain a first product image; and the detection labeling module is used for identifying the first product image to obtain the size of the first product, comparing the size with the nominal size, and labeling the first product with a qualified label if the error is smaller than a preset threshold value.
9. An electronic device, comprising:
at least one processor, at least one memory, and a communication interface; wherein the content of the first and second substances,
the processor, the memory and the communication interface are communicated with each other;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 7.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011320476.5A CN112361961A (en) | 2020-11-23 | 2020-11-23 | Product size detection labeling method and device based on camera |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011320476.5A CN112361961A (en) | 2020-11-23 | 2020-11-23 | Product size detection labeling method and device based on camera |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112361961A true CN112361961A (en) | 2021-02-12 |
Family
ID=74532766
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011320476.5A Pending CN112361961A (en) | 2020-11-23 | 2020-11-23 | Product size detection labeling method and device based on camera |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112361961A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117022851A (en) * | 2023-10-08 | 2023-11-10 | 宁德时代新能源科技股份有限公司 | Method, equipment and system for detecting rubberizing position |
Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004323068A (en) * | 2003-04-25 | 2004-11-18 | Toppan Printing Co Ltd | Method of inspecting outer ring of flexible packaging bag |
CN205138423U (en) * | 2015-11-02 | 2016-04-06 | 广州市沃佳软件技术有限公司 | General detecting system of product appearance size based on machine vision |
CN105509653A (en) * | 2015-11-30 | 2016-04-20 | 广州超音速自动化科技股份有限公司 | Method and system for visual measurement of profile of machine part |
CN106144069A (en) * | 2015-05-12 | 2016-11-23 | 万润科技股份有限公司 | Method and device for detecting electronic component packaging carrier tape |
CN206056509U (en) * | 2016-08-31 | 2017-03-29 | 魏志丽 | Axial workpiece machine vision size detecting device |
CN107478659A (en) * | 2017-07-12 | 2017-12-15 | 广东文鼎智能科技有限公司 | Using the general tea fruit grading plant of the mandarin orange of machine vision technique and method |
CN206822122U (en) * | 2017-06-02 | 2018-01-02 | 西安工程大学 | A kind of vamp size detecting system based on Raspberry Pi |
CN108151646A (en) * | 2016-12-06 | 2018-06-12 | 重庆高精齿轮传动设备有限公司 | Gear testing system |
CN207881650U (en) * | 2018-02-12 | 2018-09-18 | 福耀玻璃工业集团股份有限公司 | A kind of glass contours size detecting system |
CN109443236A (en) * | 2018-11-28 | 2019-03-08 | 合肥常青机械股份有限公司 | A kind of External Shape quality automatic detection system |
CN110085918A (en) * | 2019-05-21 | 2019-08-02 | 深圳市时纬自动化有限公司 | A kind of lithium ion battery full automatic production line and its production technology |
US10438100B1 (en) * | 2018-12-11 | 2019-10-08 | Zebra Technologies Corporation | Method, system and apparatus for dimensioning items |
US20200055094A1 (en) * | 2016-11-08 | 2020-02-20 | Optimus Sorter Holding B.V. | Sorting Device And Method |
CN210534021U (en) * | 2019-08-21 | 2020-05-15 | 珠海科德电子有限公司 | Inductance outward appearance detecting system |
CN111310870A (en) * | 2018-12-12 | 2020-06-19 | 上海新昇半导体科技有限公司 | Wafer cassette detection system and wafer shipment management method |
CN111412837A (en) * | 2020-04-26 | 2020-07-14 | 上海贝特威自动化科技有限公司 | Detection device and detection method for full-size measurement of new energy battery |
-
2020
- 2020-11-23 CN CN202011320476.5A patent/CN112361961A/en active Pending
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004323068A (en) * | 2003-04-25 | 2004-11-18 | Toppan Printing Co Ltd | Method of inspecting outer ring of flexible packaging bag |
CN106144069A (en) * | 2015-05-12 | 2016-11-23 | 万润科技股份有限公司 | Method and device for detecting electronic component packaging carrier tape |
CN205138423U (en) * | 2015-11-02 | 2016-04-06 | 广州市沃佳软件技术有限公司 | General detecting system of product appearance size based on machine vision |
CN105509653A (en) * | 2015-11-30 | 2016-04-20 | 广州超音速自动化科技股份有限公司 | Method and system for visual measurement of profile of machine part |
CN206056509U (en) * | 2016-08-31 | 2017-03-29 | 魏志丽 | Axial workpiece machine vision size detecting device |
US20200055094A1 (en) * | 2016-11-08 | 2020-02-20 | Optimus Sorter Holding B.V. | Sorting Device And Method |
CN108151646A (en) * | 2016-12-06 | 2018-06-12 | 重庆高精齿轮传动设备有限公司 | Gear testing system |
CN206822122U (en) * | 2017-06-02 | 2018-01-02 | 西安工程大学 | A kind of vamp size detecting system based on Raspberry Pi |
CN107478659A (en) * | 2017-07-12 | 2017-12-15 | 广东文鼎智能科技有限公司 | Using the general tea fruit grading plant of the mandarin orange of machine vision technique and method |
CN207881650U (en) * | 2018-02-12 | 2018-09-18 | 福耀玻璃工业集团股份有限公司 | A kind of glass contours size detecting system |
CN109443236A (en) * | 2018-11-28 | 2019-03-08 | 合肥常青机械股份有限公司 | A kind of External Shape quality automatic detection system |
US10438100B1 (en) * | 2018-12-11 | 2019-10-08 | Zebra Technologies Corporation | Method, system and apparatus for dimensioning items |
CN111310870A (en) * | 2018-12-12 | 2020-06-19 | 上海新昇半导体科技有限公司 | Wafer cassette detection system and wafer shipment management method |
CN110085918A (en) * | 2019-05-21 | 2019-08-02 | 深圳市时纬自动化有限公司 | A kind of lithium ion battery full automatic production line and its production technology |
CN210534021U (en) * | 2019-08-21 | 2020-05-15 | 珠海科德电子有限公司 | Inductance outward appearance detecting system |
CN111412837A (en) * | 2020-04-26 | 2020-07-14 | 上海贝特威自动化科技有限公司 | Detection device and detection method for full-size measurement of new energy battery |
Non-Patent Citations (1)
Title |
---|
刘琪: ""基于图像识别的汽车安全气囊轮廓尺寸检测系统研究"", 《中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117022851A (en) * | 2023-10-08 | 2023-11-10 | 宁德时代新能源科技股份有限公司 | Method, equipment and system for detecting rubberizing position |
CN117022851B (en) * | 2023-10-08 | 2024-02-20 | 宁德时代新能源科技股份有限公司 | Method, equipment and system for detecting rubberizing position |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108876242A (en) | A kind of intelligence goods and material handling method and device | |
CN102514768A (en) | Wire harness quality detection method | |
CN104484855A (en) | Method and device for cropping pictures | |
CN112361961A (en) | Product size detection labeling method and device based on camera | |
NL2005557C2 (en) | Systematic monitoring of food products. | |
CN108229610A (en) | A kind of product based on Quick Response Code misses the stop method | |
CN112800949A (en) | Artificial intelligence-based paper archive digital processing method, system and equipment | |
CN111767902A (en) | Method, device and equipment for identifying dangerous goods of security check machine and storage medium | |
CN110008782A (en) | The acquisition methods and device of bar code information | |
CN204347882U (en) | Impact indicator and logistics monitoring and management system with same | |
CN112257752A (en) | Express item identification and classification method, device, equipment and storage medium | |
CN105939364A (en) | Intelligent message push method and system | |
CN111598832A (en) | Slot defect marking method and device and storage medium | |
CN109359683B (en) | Target detection method, device, terminal and computer-readable storage medium | |
CN111080188A (en) | Cargo loading method and device and computer readable storage medium | |
CN113781371B (en) | Method and equipment for de-duplication and splicing of shelf picture identification result | |
CN114408452B (en) | Wafer conveying method and device, electronic equipment and storage medium | |
CN115578604A (en) | Box film low-contrast defect detection method and device based on deep learning | |
CN205691516U (en) | Outer package label detection device | |
CN113627415A (en) | Method and device for determining target object placement information | |
CN113344084A (en) | Jewelry quality identification method and device based on image recognition | |
CN111711814A (en) | Camera module defect detection method | |
CN109002876A (en) | A kind of two-dimension code label and two-dimension code label printing process | |
CN110633740A (en) | Image semantic matching method, terminal and computer-readable storage medium | |
US10413944B2 (en) | Identification of plastic material composition |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210212 |